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Computes and visualizes empirical joint distribution of multivariate data with optimized algorithms and multi-thread computation. There is a faster algorithm using dynamic programming to compute the whole empirical joint distribution of a bivariate data. There are optimized algorithms for computing empirical joint CDF function values for other multivariate data. Visualization is focused on bivariate data. Levelplots and wireframes are included.

Type Size Name Uploaded Downloads Labels
conda 123.3 kB | win-64/r-emcdf-0.1.2-r36h796a38f_0.tar.bz2  5 years and 4 months ago 0 main
conda 109.9 kB | osx-64/r-emcdf-0.1.2-r36h466af19_0.tar.bz2  5 years and 4 months ago 0 main
conda 122.1 kB | linux-64/r-emcdf-0.1.2-r36h29659fb_0.tar.bz2  5 years and 4 months ago 0 main

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